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Data Science

Take advantage of state of the art methods & technologies to lift your digitalization strategy to the next level

Our services comprise

Spreading awareness for the opportunities created by the advent of Artificial Intelligence, Machine Learning and Data Science
Creating awareness for the opportunities
  • Detailed overview over the field, recent advances and the scientific backgrounds, as well as already implemented practical applications in the market
  • Business and IT perspectives
  • Strategic planning in the context of AI driven economies
  • Knowledge transfer to you and your employees
Finding starting points together
Finding starting points together
  • Find opportunities in the context of your business models and your digital strategy
  • Process automation, advanced Business Intelligence and various more business related applications
  • Scientific, technological and economical evaluation of possibilities

Making your IT infrastructure ready
Making your IT infrastructure ready for new requirements
  • Real-time collection of (high frequency) structured and unstructured sensor or market data
  • Solutions for storage, manipulation and usage of massive amounts of data (Data Management)
  • Update your Data Management and Data Governance policies to fit new requirements (Data Management)
Data Science
Data Science driven Business Intelligence
  • Utilize new data driven methodologies to gain further insights into business processes, cash flows, resources and customer behavior
  • Tailor made analytics based on state of the art models
  • Embedding into existing BI architecture (Data Management)
Digitalization next level
Digitalization on the next level
  • Novel approaches allow the automation of a great variety of formerly manually operated tasks and processes
  • Embedding into existing IT landscapes (Application Ecosystems)
  • Carrying out large scale digitalization projects in a change management context
Scientific power
Scientific power to create value
  • Enabling advances in various fields, e.g.
    • Time series analysis and forecasting
    • Risk management
    • Fraud detection
  • Defining scientifically founded strategies for data driven enterprises across the value chain
  • Creative solutions to create your competitive advantages of tomorrow

We help our customers to unleash the full potential of Data Science and Artificial Intelligence within their existing frameworks

Your benefits include

Improve efficiency and quality while cutting costs
  • Enhance the quality and reliability of your business processes with further automation
  • Reallocate valuable human resources away from tasks that can be fully automated
  • Harvest the synergies of fully digitalized processes
Understand yourself and your customers on a new level
  • Gain insights from Data Science driven BI that have are out of reach in a classical BI environment
  • Use the forecasting power of novel methodologies to plan your business activities and allocate your resources in a smarter way
  • Utilize your available data to improve your understanding of customer behavior
 
Position yourself as a cutting edge enterprise in the market
  • Unleash the marketing potentials of state of the art technologies
  • Attract potential employees, investors and other stakeholders through a public image of a cutting edge enterprise
  • Strengthen your own R&D activities and innovative capabilities to generate future competitive advantages

Why DEVnet?

Scientific understanding of classical and novel methodologies
  • Our team brings together statisticians, mathematicians, computer scientists, data scientists and economists
  • Deep knowledge and experience in classical statistics (multivariate regressions, autoregressive models, decision trees ...) and novel approaches (neural networks, random forests, SVM ...) to solve regression and classification tasks
  • Direct connection to state of the art research at the University of Augsburg
Business experience and domain knowledge in the financial sector
  • Decade long experience and domain knowledge in the financial sector
  • Business driven view on technologies and IT services
  • Proven track record in managing and facilitating large scale digitalization projects from a business, IT and change management perspective
 
Technological Know-How
  • Decade long experience in designing and implementing productive IT systems that have to comply with highest regulatory standards
  • Extensive knowledge in using 'partner' technologies such as Data Warehousing and ETL processing
  • Proficiency in novel IT frameworks (cloud based computation, in(-)memory computation, GPU based computation) and tools (Hadoop, Spark, Cuda ...)
 

Our Track Record

Please find below selected projects in this field

Machine Learning and Statistical Analysis across Industry Sectors

In our current projects, we are engaged in introducing AI techniques to our client's business cases. This includes novel reinforcement learning approaches to portfolio management in the financial sector, and explorative statistical analysis of wear and tear data in logistics. Our unique profile of experienced IT consultants and data scientists with close ties to state of the art research helps us in integrating novel approaches into existing infrastructure, as well as offering a smooth transition towards an efficient and analytical use of our client's data.

Natural Language Processing of News Feed Data

The opportunities of artificial intelligence are not limited to the advanced analysis of data - they also help exploiting previously inaccessible data sources. We have demonstrated how scraping news feed data from online sources like Twitter can contribute to improving predictive models of financial markets. Our activities covered the full scope from interacting with APIs allowing access to the actual news feed data, to the deployment of NLP models extracting quantifiable information, and finally the integration of this information into established mathematical prediction models.

Transaction Classification and Fraud Detection for an asset manager

In a pilot project DEVnet analyzed the capabilities of using novel statistical approaches from the field of artificial intelligence and data science to classify a large quantity (>1m) of transactions across multiple dimensions. One goal of the project was to find ways to establish a fully automated controlling system for mandatory regulatory reporting on foreign trade (AWV Meldung) to the German Bundesbank. DEVnet's team was able to analyze large scale datasets spanning over multiple years to train model ensembles consisting of hard coded rule-based models and a data driven Neural Networks that outperformed standard approaches in terms of quality and computational time.

DEVnet Kaggle Challenge Team

Our team of aspiring data scientists frequently participates in open data challenges stemming from variety of industry branches. A formidable opportunity in testing and broadening our skills in the field, we consider these challenges fundamental to our continued success and growth. As a team building event, we have tackled competitions posted by Kaggle with great success. Furthermore, we are eager to develop new Hackathon concepts in close connection to our clients. This provides a framework for testing innovative approaches in data science before transforming them into viable business cases.

Contact

Dr Martin Vieten

Dr Martin Vieten

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Technologies

  • Hadoop
  • Azure, AWS, Google Cloud
  • Spark
  • SAS
  • SQL
  • Python
  • R
  • Kafka
  • Storm
  • Docker, Kubernetes
  • H20
  • Scikit-learn
  • MLflow
  • Tableau, PowerBI, Qlik

Methods & Competences

  • Stochastic and Statistical Modeling
  • Data Engineering
  • Quantitative Business Analysis
  • Machine Learning
  • Artificial Intelligence
  • Visualization
  • Knowledge Transfer
  • Natural Language Processing
  • Sentiment Analysis
  • Time Series Analysis
  • Structured and Unstructered Data
  • Signal Processing
  • Numerical Optimization
  • Data Lake
  • Data Security
  • Organizational Change Management
  • Data Quality
  • Data Pipelining
  • Realtime Analytics
  • Data Governance
  • Image Processing